Joint learning of feature and topology for multi-view graph convolutional network
Graph convolutional network has been extensively employed in semi-supervised classification tasks. Although some studies have attempted to leverage graph convolutional networks to explore multi-view data, they mostly consider the fusion of feature and topology individually, leading to the underutili...
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Published in | Neural Networks Vol. 168; pp. 161 - 170 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English Japanese |
Published |
Elsevier Ltd
01.11.2023
Elsevier BV |
Subjects | |
Online Access | Get full text |
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